\begin{table}[t]
\centering
\caption{\textbf{Effects of Housing Foreclosures on Presidential Elections, County Level, 2004--2016: Testing for Trump-Clinton Effects.}
\label{tab:trump_no_weights}}
\begin{tabular}{lcccc}
\toprule \toprule
 & \multicolumn{4}{c}{Dem Pres Vote Pct (0-100)}\\
 & (1) & (2) & (3) & (4) \\
\midrule
Foreclosures Per 1,000 People & -0.33 & -0.13 & -0.27 & -0.27\\
 & (0.04) & (0.04) & (0.04) & (0.05)  \medskip \\
Foreclosures $ \times $ 2016 &  -0.32 & -0.16 & -0.74 & -0.23\\
 & (0.10) & (0.09) & (0.10) & (0.10)  \medskip \\
 N & 9369 & 9373 & 9369 & 9373 \\ 
 \# Counties & 2671 & 2672 & 2671 & 2672 \\ 
County Fixed Effects & Y & Y & Y & Y  \\
State-Year Fixed Effects & Y & N & Y & N  \\
Pop Decile-Year Fixed Effects & N & Y & N & Y \\
County Linear Trends & N & N & Y & Y  \\
 Population Weights & N & N & N & N \\
\bottomrule \bottomrule
\multicolumn{5}{p{.65\textwidth}}{\footnotesize Standard errors generated from 1,000 iterations of a county-level block bootstrap procedure.  
Main effect for 2016 is absorbed by fixed effects.}
\end{tabular}
\end{table}
